Rodrigo Moreno

Rodrigo Moreno’s research focuses on developing computational tools for medical image analysis, with an emphasis on advanced magnetic resonance imaging (MRI) and artificial intelligence (AI). His work aims to improve early clinical diagnosis and patient monitoring, with a strong focus on translating research into clinics through collaborations with physicians and the industry.

A key area in his research is magnetic resonance elastography (MRE), where he seeks to unveil the biological processes behind the changes in the mechanical properties of brain tissue observed in patients. He is currently studying with MRE subjects with multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, or brain tumors.

His current research on the brain also includes brain structural connectivity analysis and synthetic MRI aging. In particular, he uses AI to improve the mapping of neural pathways extracted from diffusion MRI, and he employs AI-based generative models to simulate the effects of aging and neurodegenerative diseases on brain images.

Beyond the brain, he uses AI for cancer on radiological images to improve detection, segmentation, and prediction models. His previous work includes AI-driven biomechanics, analysis for bone images, and analysis of vasculature in radiological images. In summary, his research aims to bridge the gap between computational advancements and real-world healthcare solutions.